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Automatic Visual Reading of Meters Using Deep Learning (CROSBI ID 676243)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Koščević, Karlo ; Subašić, Marko Automatic Visual Reading of Meters Using Deep Learning // Proceedings of the Croatian Computer Vision Workshop 2018 / Petković, Tomislav (ur.). Zagreb: Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu, 2018. str. 1-6

Podaci o odgovornosti

Koščević, Karlo ; Subašić, Marko

engleski

Automatic Visual Reading of Meters Using Deep Learning

In this paper, we present a novel approach to the problem of reading residential meters using deep learning algorithms. As a starting point we use Faster R-CNN method and, to acquire more precise readings, we modify its functionality. As there were no databases for this kind of task, one had to be collected and properly annotated. This paper also provides a brief introduction to methods for image augmentation and a technique to augment annotated image dataset. For each part of the presented method as well as the whole method as one unit experiments were conducted to show the overall successfulness.

Image analysis, Object detection, OCR, Deep neural networks

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Podaci o prilogu

1-6.

2018.

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objavljeno

Podaci o matičnoj publikaciji

Proceedings of the Croatian Computer Vision Workshop 2018

Petković, Tomislav

Zagreb: Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu

1849-1227

Podaci o skupu

7th Croatian Computer Vision Workshop (CCVW 2018)

poster

24.10.2018-24.10.2018

Zagreb, Hrvatska

Povezanost rada

Elektrotehnika, Računarstvo

Poveznice